Applied Psychological Measurement

Papers
(The TQCC of Applied Psychological Measurement is 3. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2021-02-01 to 2025-02-01.)
ArticleCitations
Online Parameter Estimation for Student Evaluation of Teaching19
Sequential Bayesian Ability Estimation Applied to Mixed-Format Item Tests18
Efficiency Analysis of Item Response Theory Kernel Equating for Mixed-Format Tests15
Evaluating the Douglas-Cohen IRT Goodness of Fit Measure With BIB Sampling of Items13
Attenuation-Corrected Estimators of Reliability12
A Mixed Sequential IRT Model for Mixed-Format Items9
Bayesian Approaches for Detecting Differential Item Functioning Using the Generalized Graded Unfolding Model8
Item Response Modeling of Clinical Instruments With Filter Questions: Disentangling Symptom Presence and Severity8
Considerations for Fitting Dynamic Bayesian Networks With Latent Variables: A Monte Carlo Study8
A Comparison of Robust Likelihood Estimators to Mitigate Bias From Rapid Guessing8
DIFSIB: A SIBTEST Package8
Using a Generalized Logistic Regression Method to Detect Differential Item Functioning With Multiple Groups in Cognitive Diagnostic Tests7
Consequences of Ignoring Guessing Effects on Measurement Invariance Analysis6
Benefits of the Curious Behavior of Bayesian Hierarchical Item Response Theory Models—An in-Depth Investigation and Bias Correction6
A New Approach to Desirable Responding: Multidimensional Item Response Model of Overclaiming Data6
Enhancing Computerized Adaptive Testing with Batteries of Unidimensional Tests6
Computerized Adaptive Testing for Ipsative Tests with Multidimensional Pairwise-Comparison Items: Algorithm Development and Applications6
PROsetta: An R Package for Linking Patient-Reported Outcome Measures6
Bridging Models of Biometric and Psychometric Assessment: A Three-Way Joint Modeling Approach of Item Responses, Response Times, and Gaze Fixation Counts5
Dual-Objective Item Selection Methods in Computerized Adaptive Test Using the Higher-Order Cognitive Diagnostic Models5
glca: An R Package for Multiple-Group Latent Class Analysis5
Using a Response Time–Based Expected A Posteriori Estimator to Control for Differential Speededness in Computerized Adaptive Test4
Accommodating and Extending Various Models for Special Effects Within the Generalized Partially Confirmatory Factor Analysis Framework4
A Signal Detection Model for Multiple-Choice Exams4
Global Information for Multidimensional Tests4
The Effects of Aberrant Responding on Model-Fit Assuming Different Underlying Response Processes4
The Improved EMS Algorithm for Latent Variable Selection in M3PL Model4
On the Folly of Introducing A (Time-Based UMV), While Designing for B (Time-Based CMV)4
Detecting uniform differential item functioning for continuous response computerized adaptive testing4
Multistage Testing in Heterogeneous Populations: Some Design and Implementation Considerations4
Estimating Test-Retest Reliability in the Presence of Self-Selection Bias and Learning/Practice Effects4
aberrance: An R Package for Detecting Aberrant Behavior in Test Data3
Effect of Differential Item Functioning on Computer Adaptive Testing Under Different Conditions3
Modified Item-Fit Indices for Dichotomous IRT Models with Missing Data3
Graph Theory Approach to Detect Examinees Involved in Test Collusion3
Efficient Metropolis-Hastings Robbins-Monro Algorithm for High-Dimensional Diagnostic Classification Models3
Modeling Asymmetry in the Time–Distance Relation of Ordinal Personality Items3
Evaluation of the Linear Composite Conjecture for Unidimensional IRT Scale for Multidimensional Responses3
Compound Optimal Design for Online Item Calibration Under the Two-Parameter Logistic Model3
Outlier Detection Using t-test in Rasch IRT Equating under NEAT Design3
Termination Criteria for Grid Multiclassification Adaptive Testing With Multidimensional Polytomous Items3
First-Order Learning Models With the GDINA: Estimation With the EM Algorithm and Applications3
Factor Retention Using Machine Learning With Ordinal Data3
A Likelihood Approach to Item Response Theory Equating of Multiple Forms3
A Generalized Multi-Detector Combination Approach for Differential Item Functioning Detection3
Evaluating Equating Transformations in IRT Observed-Score and Kernel Equating Methods3
Book Review: Generalized Kernel Equating with Applications in R3
A Two-Step Q-Matrix Estimation Method3
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